Calibration and uncertainty quantification of convective parameters in an idealized GCM ORA Dunbar, A Garbuno‐Inigo, T Schneider, AM Stuart Journal of Advances in Modeling Earth Systems 13 (9), e2020MS002454, 2021 | 50 | 2021 |
Training physics‐based machine‐learning parameterizations with gradient‐free ensemble Kalman methods I Lopez‐Gomez, C Christopoulos, HL Langeland Ervik, ORA Dunbar, ... Journal of Advances in Modeling Earth Systems 14 (8), e2022MS003105, 2022 | 25 | 2022 |
Ensemble inference methods for models with noisy and expensive likelihoods ORA Dunbar, AB Duncan, AM Stuart, MT Wolfram SIAM Journal on Applied Dynamical Systems 21 (2), 1539-1572, 2022 | 25 | 2022 |
Epidemic management and control through risk-dependent individual contact interventions T Schneider, ORA Dunbar, J Wu, L Böttcher, D Burov, A Garbuno-Inigo, ... PLOS Computational Biology 18 (6), e1010171, 2022 | 15 | 2022 |
Parameter uncertainty quantification in an idealized GCM with a seasonal cycle MF Howland, ORA Dunbar, T Schneider Journal of Advances in Modeling Earth Systems 14 (3), e2021MS002735, 2022 | 15 | 2022 |
Phase field modelling of surfactants in multi-phase flow ORA Dunbar, KF Lam, B Stinner Interfaces and Free Boundaries 21 (4), 495-547, 2019 | 12 | 2019 |
Ensemble‐Based Experimental Design for Targeting Data Acquisition to Inform Climate Models ORA Dunbar, MF Howland, T Schneider, AM Stuart Journal of Advances in Modeling Earth Systems 14 (9), e2022MS002997, 2022 | 9 | 2022 |
An Efficient Bayesian Approach to Learning Droplet Collision Kernels: Proof of Concept Using “Cloudy,” a New n‐Moment Bulk Microphysics Scheme M Bieli, ORA Dunbar, EK De Jong, A Jaruga, T Schneider, T Bischoff Journal of Advances in Modeling Earth Systems 14 (8), e2022MS002994, 2022 | 9 | 2022 |
Method and system for managing epidemics through bayesian learning on contact networks T Schneider, C Daraio, OR Dunbar US Patent App. 17/445,426, 2022 | 5 | 2022 |
Reconciling Bayesian and perimeter regularization for binary inversion ORA Dunbar, MM Dunlop, CM Elliott, VH Hoang, AM Stuart SIAM Journal on Scientific Computing 42 (4), A1984-A2013, 2020 | 3 | 2020 |
Binary recovery via phase field regularization for first-arrival traveltime tomography ORA Dunbar, CM Elliott Inverse Problems 35 (9), 095004, 2019 | 3 | 2019 |
Ensemble-based experimental design for targeted high-resolution simulations to inform climate models O Dunbar, MF Howland, T Schneider, A Stuart Authorea Preprints, 2022 | 2 | 2022 |
Models for information propagation on graphs ORA Dunbar, CM Elliott, LM Kreusser arXiv preprint arXiv:2201.07577, 2022 | 1 | 2022 |
High-Dimensional Covariance Estimation From a Small Number of Samples M Morzfeld, DN Vishny, K Gwirtz, E Bach, O Dunbar, D Hodyss Authorea Preprints, 2024 | | 2024 |
Toward Routing River Water in Land Surface Models with Recurrent Neural Networks M Lima, K Deck, ORA Dunbar, T Schneider arXiv preprint arXiv:2404.14212, 2024 | | 2024 |
Generalizability of Turbulent Surface Fluxes for ESMs L Novak, A Sridhar, W Duan, G Decker, O Dunbar, T Schneider AGU23, 2023 | | 2023 |
A posteriori learning of closures for geophysical turbulence using ensemble Kalman inversion Y Guan, P Hassanzadeh, T Schneider, Z Huang, O Dunbar, ... Bulletin of the American Physical Society, 2023 | | 2023 |
Data-Driven Subgrid-Scale Parameterizations for Earth System Modeling II Online Poster Discussion L Mansfield, A Sane, O Dunbar, LM Yang Fall Meeting 2022, 2022 | | 2022 |
Data-Driven Subgrid-Scale Parameterizations for Earth System Modeling I Oral LM Yang, O Dunbar, A Sane, L Mansfield Fall Meeting 2022, 2022 | | 2022 |
Accelerated Optimal Data Acquisition When Learning Subgrid-Scale Parameters in an Idealized GCM O Dunbar, M Howland, T Schneider, A Stuart AGU Fall Meeting Abstracts 2022, NG22B-0363, 2022 | | 2022 |